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On generating multivariate Poisson data in management science applications

Overview of attention for article published in Applied Stochastic Models in Business & Industry, May 2011
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1 Q&A thread

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mendeley
44 Mendeley
citeulike
1 CiteULike
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Article details
Title
On generating multivariate Poisson data in management science applications
Published in
Applied Stochastic Models in Business & Industry, May 2011
DOI 10.1002/asmb.901
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 7%
Brazil 1 2%
Unknown 40 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Lecturer 4 9%
Student > Master 4 9%
Researcher 4 9%
Student > Doctoral Student 3 7%
Other 11 25%
Unknown 6 14%
Readers by discipline
Readers by discipline Count As %
Computer Science 7 16%
Engineering 7 16%
Mathematics 6 14%
Business, Management and Accounting 5 11%
Agricultural and Biological Sciences 5 11%
Other 8 18%
Unknown 6 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 June 2013.
All research outputs
#21,811,935
of 34,601,305 outputs
Outputs from Applied Stochastic Models in Business & Industry
#52
of 180 outputs
Outputs of similar age
#130,765
of 163,399 outputs
Outputs of similar age from Applied Stochastic Models in Business & Industry
#1
of 2 outputs
Altmetric has tracked 34,601,305 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 180 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 163,399 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them